Focal interstitial fibrosis manifesting as nodular ground-glass opacity: thin-section CT findings.
- Published in:
- 2007
- By:
- Publication type:
- journal article
Works by Goo, Jin Mo
Results: 146
1
2
Perfusion parameters as potential imaging biomarkers for the early prediction of radiotherapy response in a rat tumor model.
- Published in:
- 2016
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- Publication type:
- journal article
3
Percutaneous transthoracic localization of pulmonary nodules under C-arm cone-beam CT virtual navigation guidance.
- Published in:
- 2016
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- Publication type:
- journal article
4
Impact of radiation dose and iterative reconstruction on pulmonary nodule measurements at chest CT: a phantom study.
- Published in:
- 2015
- By:
- Publication type:
- journal article
5
Optimizing prone CT use for suspected interstitial lung abnormalities.
- Published in:
- European Radiology, 2025, v. 35, n. 6, p. 3021, doi. 10.1007/s00330-024-11259-5
- By:
- Publication type:
- Article
6
Deep learning-based prognostication in idiopathic pulmonary fibrosis using chest radiographs.
- Published in:
- European Radiology, 2024, v. 34, n. 7, p. 4206, doi. 10.1007/s00330-023-10501-w
- By:
- Publication type:
- Article
7
Value of CT quantification in progressive fibrosing interstitial lung disease: a deep learning approach.
- Published in:
- European Radiology, 2024, v. 34, n. 7, p. 4195, doi. 10.1007/s00330-023-10483-9
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- Publication type:
- Article
8
Prognostication of lung adenocarcinomas using CT-based deep learning of morphological and histopathological features: a retrospective dual-institutional study.
- Published in:
- European Radiology, 2024, v. 34, n. 5, p. 3431, doi. 10.1007/s00330-023-10306-x
- By:
- Publication type:
- Article
9
Diagnostic performance and prognostic value of CT-defined visceral pleural invasion in early-stage lung adenocarcinomas.
- Published in:
- European Radiology, 2024, v. 34, n. 3, p. 1934, doi. 10.1007/s00330-023-10204-2
- By:
- Publication type:
- Article
10
Prognostic value of CT-defined ground-glass opacity in early-stage lung adenocarcinomas: a single-center study and meta-analysis.
- Published in:
- European Radiology, 2024, v. 34, n. 3, p. 1905, doi. 10.1007/s00330-023-10160-x
- By:
- Publication type:
- Article
11
Prognostic value of deep learning–based fibrosis quantification on chest CT in idiopathic pulmonary fibrosis.
- Published in:
- European Radiology, 2023, v. 33, n. 5, p. 3144, doi. 10.1007/s00330-023-09534-y
- By:
- Publication type:
- Article
12
Artificial intelligence system for identification of false-negative interpretations in chest radiographs.
- Published in:
- European Radiology, 2022, v. 32, n. 7, p. 4468, doi. 10.1007/s00330-022-08593-x
- By:
- Publication type:
- Article
13
CT-defined visual emphysema in smokers with normal spirometry: association with prolonged air leak and other respiratory complications after lobectomy for lung cancer.
- Published in:
- European Radiology, 2022, v. 32, n. 7, p. 4395, doi. 10.1007/s00330-022-08540-w
- By:
- Publication type:
- Article
14
Radiologic-pathologic correlation of interstitial lung abnormalities and predictors for progression and survival.
- Published in:
- European Radiology, 2022, v. 32, n. 4, p. 2713, doi. 10.1007/s00330-021-08378-8
- By:
- Publication type:
- Article
15
Value of a deep learning-based algorithm for detecting Lung-RADS category 4 nodules on chest radiographs in a health checkup population: estimation of the sample size for a randomized controlled trial.
- Published in:
- European Radiology, 2022, v. 32, n. 1, p. 213, doi. 10.1007/s00330-021-08162-8
- By:
- Publication type:
- Article
16
Automatic pulmonary vessel segmentation on noncontrast chest CT: deep learning algorithm developed using spatiotemporally matched virtual noncontrast images and low-keV contrast-enhanced vessel maps.
- Published in:
- European Radiology, 2021, v. 31, n. 12, p. 9012, doi. 10.1007/s00330-021-08036-z
- By:
- Publication type:
- Article
17
Effectiveness of radiologist training in improving reader agreement for Lung-RADS 4X categorization.
- Published in:
- European Radiology, 2021, v. 31, n. 11, p. 8147, doi. 10.1007/s00330-021-07990-y
- By:
- Publication type:
- Article
18
Automatic prediction of left cardiac chamber enlargement from chest radiographs using convolutional neural network.
- Published in:
- 2021
- By:
- Publication type:
- journal article
19
Diagnostic procedures and clinico-radiological findings of acute fibrinous and organizing pneumonia: a systematic review and pooled analysis.
- Published in:
- European Radiology, 2021, v. 31, n. 10, p. 7283, doi. 10.1007/s00330-021-07868-z
- By:
- Publication type:
- Article
20
Optimum diameter threshold for lung nodules at baseline lung cancer screening with low-dose chest CT: exploration of results from the Korean Lung Cancer Screening Project.
- Published in:
- European Radiology, 2021, v. 31, n. 9, p. 7202, doi. 10.1007/s00330-021-07827-8
- By:
- Publication type:
- Article
21
Correction to: Image quality of ultralow-dose chest CT using deep learning techniques: potential superiority of vendor-agnostic post-processing over vendor-specific techniques.
- Published in:
- 2021
- By:
- Publication type:
- Correction Notice
22
Deep learning reconstruction for contrast-enhanced CT of the upper abdomen: similar image quality with lower radiation dose in direct comparison with iterative reconstruction.
- Published in:
- European Radiology, 2021, v. 31, n. 8, p. 5533, doi. 10.1007/s00330-021-07712-4
- By:
- Publication type:
- Article
23
CT quantification of the heterogeneity of fibrosis boundaries in idiopathic pulmonary fibrosis.
- Published in:
- European Radiology, 2021, v. 31, n. 7, p. 5148, doi. 10.1007/s00330-020-07594-y
- By:
- Publication type:
- Article
24
Image quality of ultralow-dose chest CT using deep learning techniques: potential superiority of vendor-agnostic post-processing over vendor-specific techniques.
- Published in:
- European Radiology, 2021, v. 31, n. 7, p. 5139, doi. 10.1007/s00330-020-07537-7
- By:
- Publication type:
- Article
25
External validation and comparison of the Brock model and Lung-RADS for the baseline lung cancer CT screening using data from the Korean Lung Cancer Screening Project.
- Published in:
- European Radiology, 2021, v. 31, n. 6, p. 4004, doi. 10.1007/s00330-020-07513-1
- By:
- Publication type:
- Article
26
Prediction of visceral pleural invasion in lung cancer on CT: deep learning model achieves a radiologist-level performance with adaptive sensitivity and specificity to clinical needs.
- Published in:
- 2021
- By:
- Publication type:
- journal article
27
Variability in interpretation of low-dose chest CT using computerized assessment in a nationwide lung cancer screening program: comparison of prospective reading at individual institutions and retrospective central reading.
- Published in:
- 2021
- By:
- Publication type:
- journal article
28
Incidence, risk factors, and prognostic indicators of symptomatic air embolism after percutaneous transthoracic lung biopsy: a systematic review and pooled analysis.
- Published in:
- European Radiology, 2021, v. 31, n. 4, p. 2022, doi. 10.1007/s00330-020-07372-w
- By:
- Publication type:
- Article
29
Deep learning–based automated detection algorithm for active pulmonary tuberculosis on chest radiographs: diagnostic performance in systematic screening of asymptomatic individuals.
- Published in:
- European Radiology, 2021, v. 31, n. 2, p. 1069, doi. 10.1007/s00330-020-07219-4
- By:
- Publication type:
- Article
30
Implementation of the cloud-based computerized interpretation system in a nationwide lung cancer screening with low-dose CT: comparison with the conventional reading system.
- Published in:
- 2021
- By:
- Publication type:
- journal article
31
Automated identification of chest radiographs with referable abnormality with deep learning: need for recalibration.
- Published in:
- European Radiology, 2020, v. 30, n. 12, p. 6902, doi. 10.1007/s00330-020-07062-7
- By:
- Publication type:
- Article
32
Deep learning algorithm for surveillance of pneumothorax after lung biopsy: a multicenter diagnostic cohort study.
- Published in:
- 2020
- By:
- Publication type:
- journal article
33
Coronary artery calcium severity grading on non-ECG-gated low-dose chest computed tomography: a multiple-observer study in a nationwide lung cancer screening registry.
- Published in:
- 2020
- By:
- Publication type:
- journal article
34
CT-based deep learning model to differentiate invasive pulmonary adenocarcinomas appearing as subsolid nodules among surgical candidates: comparison of the diagnostic performance with a size-based logistic model and radiologists.
- Published in:
- 2020
- By:
- Publication type:
- journal article
35
Test-retest reproducibility of a deep learning-based automatic detection algorithm for the chest radiograph.
- Published in:
- 2020
- By:
- Publication type:
- journal article
36
Clinical T categorization in stage IA lung adenocarcinomas: prognostic implications of CT display window settings for solid portion measurement.
- Published in:
- 2019
- By:
- Publication type:
- journal article
37
A simple prediction model using size measures for discrimination of invasive adenocarcinomas among incidental pulmonary subsolid nodules considered for resection.
- Published in:
- 2019
- By:
- Publication type:
- journal article
38
Implication of total tumor size on the prognosis of patients with clinical stage IA lung adenocarcinomas appearing as part-solid nodules: Does only the solid portion size matter?
- Published in:
- 2019
- By:
- Publication type:
- journal article
39
Risk of pleural recurrence after percutaneous transthoracic needle biopsy in stage I non-small-cell lung cancer.
- Published in:
- 2019
- By:
- Publication type:
- journal article
40
Evaluation of T categories for pure ground-glass nodules with semi-automatic volumetry: is mass a better predictor of invasive part size than other volumetric parameters?
- Published in:
- 2018
- By:
- Publication type:
- journal article
41
Pulmonary subsolid nodules: value of semi-automatic measurement in diagnostic accuracy, diagnostic reproducibility and nodule classification agreement.
- Published in:
- European Radiology, 2018, v. 28, n. 5, p. 2124, doi. 10.1007/s00330-017-5171-7
- By:
- Publication type:
- Article
42
Risk factors for haemoptysis after percutaneous transthoracic needle biopsies in 4,172 cases: Focusing on the effects of enlarged main pulmonary artery diameter.
- Published in:
- 2018
- By:
- Publication type:
- journal article
43
Time-dependent analysis of incidence, risk factors and clinical significance of pneumothorax after percutaneous lung biopsy.
- Published in:
- 2018
- By:
- Publication type:
- journal article
44
Repeat biopsy of patients with acquired resistance to EGFR TKIs: implications of biopsy-related factors on T790M mutation detection.
- Published in:
- 2018
- By:
- Publication type:
- journal article
45
Pulmonary subsolid nodules: value of semi-automatic measurement in diagnostic accuracy, diagnostic reproducibility and nodule classification agreement.
- Published in:
- 2017
- By:
- Publication type:
- journal article
46
CT assessment-based direct surgical resection of part-solid nodules with solid component larger than 5 mm without preoperative biopsy: experience at a single tertiary hospital.
- Published in:
- 2017
- By:
- Publication type:
- journal article
47
Non-specific benign pathological results on transthoracic core-needle biopsy: how to differentiate false-negatives?
- Published in:
- 2017
- By:
- Publication type:
- journal article
48
Comparison of the effects of model-based iterative reconstruction and filtered back projection algorithms on software measurements in pulmonary subsolid nodules.
- Published in:
- 2017
- By:
- Publication type:
- journal article
49
Development and validation of a prediction model for measurement variability of lung nodule volumetry in patients with pulmonary metastases.
- Published in:
- 2017
- By:
- Publication type:
- journal article
50
Retrospective assessment of interobserver agreement and accuracy in classifications and measurements in subsolid nodules with solid components less than 8mm: which window setting is better?
- Published in:
- 2017
- By:
- Publication type:
- journal article